Improving Skills and Perception in Robot Navigation by an Augmented Virtuality Assistance System

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Quadratic Programming (QP)-based controllers allow many robotic systems, such as humanoids, to successfully undertake complex motions and interactions. However, these approaches rely heavily on adequately capturing the underlying model of the environment a ...

Minimising the longest travel distance for a group of mobile robots with interchangeable goals requires knowledge of the shortest length paths between all robots and goal destinations. Determining the exact length of the shortest paths in an environment wi ...

We apply inverse reinforcement learning (IRL) with a novel cost feature to the problem of robot navigation in human crowds. Consistent with prior empirical work on pedestrian behavior, the feature anticipates collisions between agents. We efficiently learn ...

Multimodal unmanned aerial vehicles (UAVs) are rarely capable of more than two modalities, i.e., flying and walking or flying and perching. However, being able to fly, perch, and walk could further improve their usefulness by expanding their operating enve ...

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

Environmental monitoring and mapping operations are an essential tool to combat climate change. An important branch of this domain concerns the construction of reliable gas maps. Adaptive navigation strategies coupled with multi-robot systems improve the o ...

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Autonomous robots have the potential to fundamentally transform conventional farming methods, e.g. by enabling economically viable farming of sloped arable land. However, navigation on slopes in harsh conditions is challenging for robots as they must be pr ...

During reaching actions, the human central nerve system (CNS) generates the trajectories that optimize effort and time. When there is an obstacle in the path, we make sure that our arm passes the obstacle with a sufficient margin. This comfort margin varie ...

Gender inequality is a widespread problem in our society. It can manifest itself in many ways and contexts, and starting as early as primary school. While an increasing number of initiatives aim at tackling gender biases and inequalities, few of them are a ...

Improving Skills and Perception in Robot Navigation by an Augmented Virtuality Assistance System

Chattez avec Graph Search

Self-Correcting Quadratic Programming-Based Robot Control

Certification of Bottleneck Task Assignment With Shortest Path Criteria

Inverse Reinforcement Learning of Pedestrian-Robot Coordination

Avian-Inspired Claws Enable Robot Perching or Walking

Identifying important sensory feedback for learning locomotion skills

Multi-Robot 3D Gas Distribution Mapping: Coordination, Information Sharing and Environmental Knowledge

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

Automation in steep terrain agriculture: an optimal controller to prevent tipping and slipping of tethered robots on slopes

Inferring individual evaluation criteria for reaching trajectories with obstacle avoidance from EEG signals

Participatory design of a social robot and robot-mediated storytelling activity to raise awareness of gender inequality among children